Agent Instruction Prompt Formatter
Formats fuzzy agent instructions into a structured prompt with objective, available tools, constraints, success criteria, and failure handling.
Turns raw meeting notes into a structured prompt with task, context, and output expectations clearly separated — ready to use with an AI assistant.
Pasting raw meeting notes directly into an AI and asking 'summarise this' produces a summary of what was said, not what was decided. This formatter converts your notes into a structured analysis prompt that tells the AI what to look for, how to handle uncertainty, and what format to use — so the output is actually useful for follow-up.
Paste your notes and what you want from them
Include the raw notes and a short note about what you need — decisions, action items, a summary, or all of the above.
Open in Prompt Formatter
The formatter separates your notes into task, context, and output sections — giving the AI a clear starting point rather than a wall of unstructured text.
Check the constraints section
The default constraints tell the AI not to infer decisions or action items that weren't explicit. Adjust if your notes have different conventions.
Run the prompt with your notes
Paste the formatted prompt into your AI assistant. The output will have clear categories instead of a narrative summary.
A structured analysis prompt, not a summary. It reshapes your notes into ## Context, ## Notes (kept as-is), ## What to Extract, ## Constraints, and ## Output Format, where the extraction list is four items: decisions made, action items, risks or blockers, and open questions. The prompt-formatter builds this prompt; you then run it in your assistant against the same notes to get the categorized output.
Through the ## Constraints block: it tells the AI "do not infer decisions that were discussed but not confirmed," not to create action items without a clear responsible person, and to use [not specified] for missing owner or date rather than guessing. Step 3 says adjust these defaults if your notes use different conventions — the formatter sets the guardrails, you still run and review the result.
Formats fuzzy agent instructions into a structured prompt with objective, available tools, constraints, success criteria, and failure handling.
Converts a stream-of-consciousness prompt into a structured one with Task, Context, Constraints, Requirements, and Output Format sections.
Turns scattered technical instructions into a coding prompt with a clear task, code context, constraints, and expected output.
Convert scattered bug notes, Slack messages, or user complaints into structured engineering tasks with reproduction steps, severity, and root cause hypothesis.
A reusable AI agent task template with variables for objective, context, available tools, constraints, success criteria, failure handling, and output format.
A set of before-and-after examples showing exactly what prompt cleanup removes — and what it deliberately leaves alone.
Turn a messy, stream-of-consciousness prompt into a clean, structured one.